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Results 61 - 62 of 62 for 32x3x3x3xf32 (0.1 sec)

  2. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/tensorflow/tests/tf-ops.mlir 

    ^bb0(%arg0: tensor<256x32x32x3xf32>, %arg1: tensor<3x3x3x4xf32>) :
  %0 = "tf.DepthwiseConv2dNative"(%arg0, %arg1) {device = "", name = "MobilenetV2/expanded_conv/depthwise/depthwise", T = "tfdtype$DT_FLOAT", data_format = "NHWC", dilations = [1, 1, 1, 1], padding = "SAME", strides = [1, 1, 1, 1]} : (tensor<256x32x32x3xf32>, tensor<3x3x3x4xf32>) -> tensor<256x30x30x12xf32>
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 23 14:40:35 UTC 2023
    - 236.4K bytes
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  3. github.com/tensorflow/tensorflow

    tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir 

    }

// -----

// CHECK-LABEL: depthwiseconv_simple
func.func @depthwiseconv_simple(%arg0: tensor<?x4x5x3xf32>, %arg1: tensor<2x2x3x3xf32>) -> tensor<?x3x4x9xf32> {
  // CHECK: %[[RESHAPED_FILTER:.*]] = mhlo.reshape %arg1 : (tensor<2x2x3x3xf32>) -> tensor<2x2x1x9xf32>
  // CHECK: mhlo.convolution(%arg0, %[[RESHAPED_FILTER]])
  // CHECK-SAME: feature_group_count = 3
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon May 06 18:46:23 UTC 2024
    - 335.5K bytes
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